[Paper] Can Large Language Models Make Everyone Happy?
Misalignment in Large Language Models (LLMs) refers to the failure to simultaneously satisfy safety, value, and cultural dimensions, leading to behaviors that d...
Misalignment in Large Language Models (LLMs) refers to the failure to simultaneously satisfy safety, value, and cultural dimensions, leading to behaviors that d...
Article URL: https://z.ai/blog/glm-5 Comments URL: https://news.ycombinator.com/item?id=46977210 Points: 94 Comments: 34...
Artificial intelligence has arrived at an uncanny level of capability. It can write code, help plan a business model, assist with legal research, and draft almo...
Olympic debut and AI music Czech ice dancers Kateřina Mrázková and Daniel Mrázek made their Olympic debut on Monday, a feat that reflects a lifetime of dedicat...
How We Got Here > Note: This section is a brief history of AI coding tools. If you just want the Cursor vs Claude Code comparison, skip to The $500 Problem. I...
Large Language Models (LLMs) often provide chain-of-thought (CoT) reasoning traces that appear plausible, but may hide internal biases. We call these *unverbali...
Language models trained on large-scale datasets have been shown to learn features that encode abstract concepts such as factuality or intent. Such features are ...
Organisations are examining how generative AI can support their operational work and decision-making processes. This study investigates how employees in a energ...
New Voice Chat Capability DuckDuckGo has announced new voice chat capabilities for Duck.ai, the private AI chatbot platform it launched last March. The feature...
AI Doesn’t Reduce Work—It Intensifies It – Harvard Business Reviewhttps://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it via Hacker Newshttps://news.yc...
TL;DR RAG Retrieval‑Augmented Generation combines language models with real‑time data retrieval to provide accurate, up‑to‑date responses. Key benefit: reduces...
Matrix-based optimizers have attracted growing interest for improving LLM training efficiency, with significant progress centered on orthogonalization/whitening...